pyCapsid

Description

A python package for identification of dominant motions and rigid domains of protein shells using Elastic Network Models.

The package requires python >3.6 and < 3.11, we reccommend python 3.10. Via pip:

pip install pyCapsid

Via conda:

conda install -c luque_lab -c conda-forge pycapsid

Documentation is provided on our github pages site: https://luquelab.github.io/pyCapsid/

An example notebook is provided in the notebooks folder. An accompanying tutorial is provided in the documentation.

The Github Repository of this project: https://github.com/luquelab/pyCapsid

This is an evolving repository Started: 2022-10-24

FOLDER: /bin --> This folder contains basic scripts and executable files.

FOLDER: /data --> This folder contains the raw data associated with the project and the potential references.

FOLDER: /docs --> This folder contains the manuscript, digital copies of the cited references, figures, and other associated files for publication.

FOLDER: /results --> This folder contains the results, performance analysis, and commented references associated with the project.

FOLDER: /src --> This folder contains source code of the package.

The syntax of markdown files (.md) is CommonMark unless specified otherwise (https://commonmark.org/help/)

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for pyCapsid 0.4.7
File	Size	Uploaded
pyCapsid-0.4.7.tar.gz	59.1 MB	Jul 13, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.4.7
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.4.7-py3-none-any.whl 33.5 kB Jul 13, 2023	Python 3	none	any	Details

Total release size: 59.1 MB

Download URL	pyCapsid-0.4.7.tar.gz
Size	59.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`7f0b2ea44945f19640af5c9ccb5b734f10c6bb648aca7ffa7f4160ec408b5632`
BLAKE2b-256 checksum How to use checksums	`cac523f5592a8ed33472a7ba3154590576ab7cc9f41029f9da57211054efbd7a`
Upload date	Jul 13, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`

Download URL	pyCapsid-0.4.7-py3-none-any.whl
Size	33.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`50af9996dcfb1751d7b28368a25defaf47618cbbe1fbf231ac96d8dd0656782b`
BLAKE2b-256 checksum How to use checksums	`c87c197c674172a18780acfb63b15142c151ba8c4c0364df3f6d217698121bdf`
Upload date	Jul 13, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`